ECG features improve multimodal deep learning prediction of incident T2DM in a Middle Eastern cohort by Farida Mohsen, Ali Safa, Zubair Shah

“…Furthermore, stratifying participants into Low-, Medium-, and High-risk categories revealed that ECG-DiaNet achieved a higher positive predictive value (PPV) in the high-risk group compared to CRF-only models. …”
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The effect of postoperative weight loss on difficult intubation in bariatric surgery patients: a prospective observational study by Bahar Uslu Bayhan, Kazım Ersin Altınsoy

“…ROC curve analysis was performed to evaluate the predictive value of preoperative parameters for difficult intubation. …”
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X-ray is not inferior to CT in terms of F1 score in the diagnosis of foreign body aspiration: a recall, precision and F1 score performance analysis based on bronchoscopically prove... by Fatma Sarac, Mehmet Yazici

“…Chest x-rays were found to exhibit 42 % sensitivity, 74 % specificity, a positive predictive value (PPV) of 61 %, a negative predictive value (NPV) of 51 %, accuracy of 66 %, precision: 0.63, recall: 0.82, and F1 score: 0.71. …”
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MULTISLICE COMPUTED TOMOGRAPHY CORONARY ANGIOGRAPHY IN PATIENTS WITH ANGINA PECTORIS by D. Ilić, S. Jankovic

“…The best results were obtained in patients with healthy coronary arteries (high percentage of negative predictive value), which can significantly reduce the number of invasive coronary angiography. …”
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The accuracy of the Candida Score® in predicting the likelihood of fungal sepsis in newborns by Johanes Edy Siswanto, Milda, Dewi Patriani, Boromeus Abyasa Daniswara, Christophorus Adi S. Pamungkas

“…The revised Candida Score® showed sensitivity of 81.3%, specificity of 58.6%, positive predictive value (PPV) of 68.4%, negative predictive value (NPV) of 62.9%, and an area under the curve (AUC) of 0.743 (p = 0.001).Conclusion Incorporating outborn status and thrombocytopenia improved early identification of neonatal candidemia. …”
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Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations by Adi Hatav, Yelena Vysotski, Anna Shapira, Shiri Procaccia, David Meiri, Dvir Aran

“…We used a Random Forest classifier with nested cross-validation to assess the predictive value of demographics, clinical features, and approximately 200 chemical compounds. …”
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Increased serum uric acid to creatinine ratio is associated with metabolic dysfunction associated steatotic liver disease by Fang Wang, XuDong Zheng, Xiang Ni, Ying Li

“…Maybe SUA/SCr could be considered as a useful biomarker for MASLD in clinical work, although the predictive value is limited, and further validation and combined usage with other markers are necessary.…”
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Prediction of Early Response to Chemotherapy in Lung Cancer by Using Diffusion-Weighted MR Imaging by Jing Yu, Weidong Li, Zhang Zhang, Tielian Yu, Dong Li

“…ROC curve showed that ADC value could predict treatment response with 100% sensitivity, 64.71% specificity, 57.14% positive predictive value, 100% negative predictive value, and 82.7% accuracy. …”
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Values of lymphocyte-related ratios in predicting the clinical outcome of acute ischemic stroke patients receiving intravenous thrombolysis based on different etiologies by Yongyu Li, Keyang Chen, Lu Wang, Linhu Zhao, Chunyan Lei, Yu Gu, Xiaoyan Zhu, Qionghua Deng

“…BackgroundWhile neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) have been associated with acute ischemic stroke (AIS) outcomes, their differential predictive value across etiological subtypes (TOAST classification) in thrombolysis-treated patients remains underexplored.MethodsIn this retrospective cohort study, we analyzed 381 AIS patients receiving intravenous thrombolysis. …”
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Differential Diagnosis Model of Hypocellular Myelodysplastic Syndrome and Aplastic Anemia Based on the Medical Big Data Platform by Jianhui Wu, Lu Zhang, Sufeng Yin, Haidong Wang, Guoli Wang, Juxiang Yuan

“…The sensitivity, specificity, Youden index, positive likelihood ratio (+LR), negative likelihood ratio (−LR), area under curve (AUC), accuracy, Kappa value, positive predictive value (+PV), negative predictive value (−PV) of the four model training set and test set were compared, respectively. …”
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Narrow Band Imaging complements Eosinophilic Esophagitis Reference Score in predicting inflammatory infiltration in patients with dysphagia by Kotryna Truskaite, Laura Vossen Engblom, Greger Lindberg, Aldona Dlugosz

“…We used logistic regression with forward stepwise selection to determine the most relevant predictors (endoscopic signs) of inflammation. To assess the predictive value of endoscopic signs for eosinophilic or lymphocytic infiltration we calculated sensitivity, specificity, and predictive values. …”
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Calculation analysis and design on flexural capacity of partially encased steel–concrete composite beam with web opening by Jun Wan, Caisen Wang, Jiongfeng Liang, Hongzhi Su

“…By comparing the predicted values with the tested values, it was found that the prediction error of the model was within 10%. …”
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Redefining Liver Fibrosis Risk Assessment in Indians with Type 2 Diabetes: New FIB-4 Score Cutoff for Optimizing Sequential Assessment with Transient Elastography by Rajat Deb, Soumik Goswami, Nilanjan Sengupta, Arjun Baidya, Vibhu R. Khare, Joydip Datta, Mousumi Das, Debes Ray

“…We found that a FIB-4 of 1.5 rules out CSLF with a sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Diagnostic Accuracy (DA) of 82.9%, 79.9%, 55.7%, 93.8%, and 80.6%, respectively, compared with a FIB4 of 1.3 which has values of 91.5%, 67.3%, 46.1%, 96.2%, and 72.9%, respectively. …”
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Identification of the most common pathogenic bacteria in patients with suspected sepsis by multiplex PCR by Mohammad Reza Arabestani, Hossein Fazzeli, Bahram Nasr Esfahani

“…Results: The sensitivity and specificity for universal PCR and multiplex PCR in comparison with BC were 83.87% and 91.58%, and 74.19% and 91.58%, respectively. The positive predictive value (PPV) and the negative predictive value (NPV) for these two PCRs were 76.47% and 94.57%, and 74.19% and 91.58%, respectively. …”
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Labour Admission Test - A low cost alternative to predict foetal distress and neonatal outcomes by Chandini Sree Lalitha Chinta, Sarvamangala B

“…A statistical analysis comparing normal and abnormal (suspicious + pathological) AT showed high specificity 83.82% and high negative predictive value 92.95%. However, LAT was found to have low sensitivity 59.26% and low positive predictive value 36.36%. …”
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Exploring an online clinical competency assessment: an alternative to a traditional in-person assessment for internationally trained physiotherapists by Brooke Flew, Lucy Chipchase, Darren Lee, Jodie A. McClelland

“…The online assessment demonstrated a strong positive predictive value (79%), indicating its potential to regularly predict competence as determined by the in-person assessment. …”
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Epidemiological study of human brucellosis among febrile patients in Erbil-Kurdistan region, Iraq by Dhary Alewy Almashhadany, Zean Fetehallah Zefenkey, Mohammed Naji Ahmed Odhah

“…The sensitivity, specificity, positive predictive value, and negative predictive value of the Rose Bengal Test in comparison to the blood culture were 100%, 96.9%, 77.5 %, and 100% respectively. …”
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COMPARISON OF THE DIAGNOSTIC ACCURACY OF MAGNETIC RESONANCE IMAGING AND ULTRASOUND EXAMINATION FOR X-RAY NEGATIVE STAGE OF KNEE JOINTS OSTEOARTHRITIS by M. V. Makarova, M. Yu. Valkov

“…We estimated the sensitivity and specificity, positive and negative predictive values for pathological changes in 7 distinct anatomical areas on US comparing to MRI.Results. …”
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ASAS criteria for inflammatory back pain: diagnostic significance in patients with inflammatory bowel disease by E. N. Belousova, A. Kh. Odintsova, M. S. Protopopov, D. I. Abdulganieva

“…In our study, the sensitivity of the ASAS criteria for IBD was 76.9% and specificity – 67.2%, positive predictive value was 0.51, a negative predictive value – 0.87. …”
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Evaluating alternatives to the Widal test for typhoid fever diagnosis in developing countries: A targeted literature review by Bereket A. Tegene, Meron T. Eshetie

“…Results: The mean sensitivity, specificity, positive predictive value and negative predictive value of the Widal test in this study were 62.94 ± 17.83 (95% confidence interval [CI]: 49.23–76.64); 73.31 ± 18.75 (95% CI: 58.89–87.73); 58.85 ± 40.07 (95% CI: 16.80–100.90) and 75.96 ± 25.93 (95% CI: 46.08–100.45), respectively. …”
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